Engineering notes, field guides and perspectives on reliable event delivery.
Engineering notes, field guides and perspectives on reliable event delivery, organized around event delivery, AI and agents, IoT and edge systems, integrations, and comparisons.
Start with a featured guide, browse by topic, or compare Queuey with webhook platforms, cloud queues and building delivery infrastructure yourself.
Featured
The Guide to the IoT Galaxy — A practical guide to reliability between the device, the edge and the cloud — offline operation, event custody, delayed telemetry and where MQTT's guarantees stop.
The Agent Worked. The System Failed. — An AI agent can make the right decision and still create the wrong outcome. As agents reach production, AI reliability becomes a distributed systems problem.
Event delivery often starts with an HTTP request and quietly grows into retries, queues, idempotency, DLQs and recovery logic. Why is this still application code?
A practical guide to reliability between the device, the edge and the cloud — offline operation, event custody, delayed telemetry and where MQTT's guarantees stop.
An AI agent can make the right decision and still create the wrong outcome. As agents reach production, AI reliability becomes a distributed systems problem.
During GitHub’s August 17 outage, a latent retry bug amplified traffic by approximately 10×. The interesting part isn’t that retries failed. It’s that the system kept retrying after retries had become part of the problem.
Every integration project quietly solves the same problems. The firms that stop rebuilding the same operational foundation will define the next category of integration consulting.
Why the Agentic Internet is fundamentally different from Web3—and why the next generation of software will be designed for agents first, humans second.